| Signal | Llama 3.3 Nemotron Super 49B V1.5 | Delta | Qwen3 Coder 480B A35B (free) |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 59 | +59 | |
Pricing | 0 | -30 | |
Context window size | 81 | -5 | |
Recency | 100 | +12 | |
Output Capacity | 20 | -70 | |
| Overall Result | 3 wins | of 6 | 3 wins |
7
days ranked higher
3
days
20
days ranked higher
NVIDIA
Alibaba
Qwen3 Coder 480B A35B (free) saves you $30.00/month
That's $360.00/year compared to Llama 3.3 Nemotron Super 49B V1.5 at your current usage level of 100K calls/month.
| Metric | Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 Coder 480B A35B (free) | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | Qwen3 Coder 480B A35B (free) |
| Rank | #161 | #160 | Qwen3 Coder 480B A35B (free) |
| Quality Rank | #161 | #160 | Qwen3 Coder 480B A35B (free) |
| Adoption Rank | #161 | #160 | Qwen3 Coder 480B A35B (free) |
| Parameters | 49B | 480B | -- |
| Context Window | 131K | 262K | Qwen3 Coder 480B A35B (free) |
| Pricing | $0.10/$0.40/M | Free | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | Llama 3.3 Nemotron Super 49B V1.5 |
| Benchmarks | 59 | -- | Llama 3.3 Nemotron Super 49B V1.5 |
| Pricing | 0 | 30 | Qwen3 Coder 480B A35B (free) |
| Context window size | 81 | 86 | Qwen3 Coder 480B A35B (free) |
| Recency | 100 | 89 | Llama 3.3 Nemotron Super 49B V1.5 |
| Output Capacity | 20 | 90 | Qwen3 Coder 480B A35B (free) |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 69/100 (rank #161), placing it in the top 45% of all 290 models tracked.
Scores 69/100 (rank #160), placing it in the top 45% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 Coder 480B A35B (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.3 Nemotron Super 49B V1.5 and Qwen3 Coder 480B A35B (free) are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.3 Nemotron Super 49B V1.5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Coder 480B A35B (free)
100% lower pricing; better value at scale
Best for Reliability
Llama 3.3 Nemotron Super 49B V1.5
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.3 Nemotron Super 49B V1.5
Stronger community support and better developer experience
Best for Production
Llama 3.3 Nemotron Super 49B V1.5
Wider enterprise adoption and proven at scale
by NVIDIA
by Alibaba
| Capability | Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 Coder 480B A35B (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Qwen3 Coder 480B A35B (free) saves you $0.6600/month
That's 100% cheaper than Llama 3.3 Nemotron Super 49B V1.5 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama 3.3 Nemotron Super 49B V1.5 | Qwen3 Coder 480B A35B (free) |
|---|---|---|
| Context Window | 131K | 262K |
| Max Output Tokens | -- | 262,000 |
| Open Source | Yes | Yes |
| Created | Oct 10, 2025 | Jul 23, 2025 |
Qwen3 Coder 480B A35B (free) scores 69/100 (rank #160) compared to Llama 3.3 Nemotron Super 49B V1.5's 69/100 (rank #161), giving it a 0-point advantage. Qwen3 Coder 480B A35B (free) is the stronger overall choice, though Llama 3.3 Nemotron Super 49B V1.5 may excel in specific areas like certain benchmarks.
Llama 3.3 Nemotron Super 49B V1.5 is ranked #161 and Qwen3 Coder 480B A35B (free) is ranked #160 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen3 Coder 480B A35B (free) is cheaper at $0.00/M output tokens vs Llama 3.3 Nemotron Super 49B V1.5's $0.40/M output tokens - 400.0x more expensive. Input token pricing: Llama 3.3 Nemotron Super 49B V1.5 at $0.10/M vs Qwen3 Coder 480B A35B (free) at $0.00/M.
Qwen3 Coder 480B A35B (free) has a larger context window of 262,000 tokens compared to Llama 3.3 Nemotron Super 49B V1.5's 131,072 tokens. A larger context window means the model can process longer documents and conversations.